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Record W3152485472 · doi:10.1212/wnl.0000000000011937

Prospective Quantification of CSF Biomarkers in Antibody-Mediated Encephalitis

2021· article· en· W3152485472 on OpenAlexaff
Gregory S. Day, Melanie Y. Yarbrough, Péter Körtvelyessy, Harald Prüß, Robert C. Bucelli, Marvin J. Fritzler, Warren Mason, David F. Tang‐Wai, Claude Steriade, Julien Hébert, Rachel L. Henson, Elizabeth Herries, Jack H. Ladenson, A. Sebastian López‐Chiriboga, Neill R. Graff‐Radford, John C. Morris, Anne M. Fagan

Bibliographic record

VenueNeurology · 2021
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsUniversity of TorontoUniversity of Calgary
FundersNational Center for Advancing Translational SciencesNational Institute on Aging
KeywordsNeurograninSnapMedicineNeuroinflammationBiomarkerModified Rankin ScaleCerebrospinal fluidEncephalitisReceiver operating characteristicInternal medicineHazard ratioAutoimmune encephalitisPathologyNeuromyelitis opticaConfidence intervalGastroenterologyAntibodyInflammationImmunologyBiology

Abstract

fetched live from OpenAlex

<h3>Objective</h3> To determine whether neuronal and neuroaxonal injury, neuroinflammation, and synaptic dysfunction associate with clinical course and outcomes in antibody-mediated encephalitis (AME), we measured biomarkers of these processes in CSF from patients presenting with AME and cognitively normal individuals. <h3>Methods</h3> Biomarkers of neuronal (total tau, VILIP-1) and neuroaxonal damage (neurofilament light chain [NfL]), inflammation (YKL-40), and synaptic function (neurogranin, SNAP-25) were measured in CSF obtained from 45 patients at the time of diagnosis of NMDA receptor (n = 34) or <i>LGI1</i>/<i>CASPR2</i> (n = 11) AME and 39 age- and sex-similar cognitively normal individuals. The association between biomarkers and modified Rankin Scale (mRS) scores were evaluated in a subset (n = 20) of longitudinally followed patients. <h3>Results</h3> Biomarkers of neuroaxonal injury (NfL) and neuroinflammation (YKL-40) were elevated in AME cases at presentation, whereas markers of neuronal injury and synaptic function were stable (total tau) or decreased (VILIP-1, SNAP-25, neurogranin). The log-transformed ratio of YKL-40/SNAP-25 optimally discriminated patients from cognitively normal individuals (area under the receiver operating characteristic curve 0.99; 95% confidence interval 0.97, &gt;0.99). Younger age (ρ = −0.56; <i>p</i> = 0.01), lower VILIP-1 (ρ = −0.60; <i>p</i> &lt; 0.01) and SNAP-25 (ρ = −0.54; <i>p</i> = 0.01), and higher log<sub>10</sub>(YKL-40/SNAP-25) (ρ = 0.48; <i>p</i> = 0.04) associated with greater disease severity (higher mRS score) in prospectively followed patients. Higher YKL-40 (ρ = 0.60; <i>p</i> = 0.02) and neurogranin (ρ = 0.55; <i>p</i> = 0.03) at presentation were associated with higher mRS scores 12 months following hospital discharge. <h3>Conclusions</h3> CSF biomarkers suggest that neuronal integrity is acutely maintained in AME, despite neuroaxonal compromise. Low levels of biomarkers of synaptic function may reflect antibody-mediated internalization of cell surface receptors and may represent an acute correlate of antibody-mediated synaptic dysfunction, with the potential to inform disease severity and outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.294
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations67
Published2021
Admission routes1
Has abstractyes

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